Apache Airflow is an open–source platform to programmatically author, schedule and monitor workflows. In this course we are going to start with covering some basic concepts related to Apache Airflow – from the main components – web server and scheduler, to the internal components like DAG, Plugin, Operator, Sensor, Hook, Xcom, Variable and Connection.
Later in the course I will teach you some more advanced topics like branching, metrics, performance and log monitoring, and Airflow’s REST API. Additionally I will help you to build your development environment with just one click using Docker and Docker Compose.
Why stop here? After all this, we will create a Kubernetes cluster in Amazon and we will deploy our application there!
Finally, I will share with you some useful advanced tips which will be helpful to enhance your simple Airflow project to a production ready system.
Courses : 1
Specification: Mastering Apache Airflow! Deploy to Kubernetes in AWS
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